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ORCIDCarlos Quintero-Peña
Person information
- affiliation: Rice University, Houston, TX, USA
- affiliation (former): Universidad de los Andes, Bogotá, Colombia
- affiliation (former): Universidad Santo Tomás, Bogotá, Colombia
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Journal Articles
- 2022
[j1]Constantinos Chamzas
, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. IEEE Robotics Autom. Lett. 7(2): 882-889 (2022)
Conference and Workshop Papers
- 2024
- [c14]Carlos Quintero-Peña, Wil Thomason, Zachary K. Kingston, Anastasios Kyrillidis, Lydia E. Kavraki:
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty. ICRA 2024: 2360-2367 - 2023
- [c13]Carlos Quintero-Peña, Zachary K. Kingston, Tianyang Pan, Rahul Shome, Anastasios Kyrillidis, Lydia E. Kavraki:
Optimal Grasps and Placements for Task and Motion Planning in Clutter. ICRA 2023: 3707-3713 - [c12]Carlos Quintero-Peña, Peizhu Qian, Nicole M. Fontenot, Hsin-Mei Chen, Shannan K. Hamlin, Lydia E. Kavraki, Vaibhav V. Unhelkar:
Robotic Tutors for Nurse Training: Opportunities for HRI Researchers. RO-MAN 2023: 220-225 - 2022
- [c11]Carlos Quintero-Peña, Constantinos Chamzas, Zhanyi Sun, Vaibhav V. Unhelkar, Lydia E. Kavraki:
Human-Guided Motion Planning in Partially Observable Environments. ICRA 2022: 7226-7232 - 2021
- [c10]Constantinos Chamzas, Zachary K. Kingston, Carlos Quintero-Peña, Anshumali Shrivastava, Lydia E. Kavraki:
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions. ICRA 2021: 1283-1289 - [c9]Carlos Quintero-Peña, Anastasios Kyrillidis, Lydia E. Kavraki:
Robust Optimization-based Motion Planning for high-DOF Robots under Sensing Uncertainty. ICRA 2021: 9724-9730 - 2018
- [c8]Manuel Sebastian Rios Beltran, Camilo Andres Gamarra Torroledo, Carlos Andres Quintero Peña, Carlos Saith Rodriguez Rojas:
Design and Implementation of an Automatic Object Recognition System Using Deep Learning and an Array of One-Class SVMs. ICMLA 2018: 618-623 - 2015
- [c7]Saith Rodríguez, Katherín Pérez, Carlos A. Quintero, Jorge López, Eyberth Rojas, Juan M. Calderón:
Identification of Multimodal Human-Robot Interaction Using Combined Kernels. IBICA 2015: 263-273 - [c6]Carlos A. Quintero, Reinaldo Uribe, Juan M. Calderón, Fernando Lozano:
Online Pairwise Ranking Based on Graph Edge-Connectivity. IBICA 2015: 499-509 - [c5]Ercan Elibol, Juan M. Calderón, Martin Llofriu, Carlos A. Quintero, Wilfrido Moreno, Alfredo Weitzenfeld:
Power Usage Reduction of Humanoid Standing Process Using Q-Learning. RoboCup 2015: 251-263 - 2014
- [c4]Carlos A. Quintero, Saith Rodríguez, Katherín Pérez, Jorge López, Eyberth Rojas, Juan M. Calderón:
Learning Soccer Drills for the Small Size League of RoboCup. RoboCup 2014: 395-406 - [c3]Saith Rodríguez, Eyberth Rojas, Katherín Pérez, Jorge López, Carlos A. Quintero, Juan M. Calderón:
Fast Path Planning Algorithm for the RoboCup Small Size League. RoboCup 2014: 407-418 - 2013
- [c2]Heyson Báez, Katherín Pérez, Eyberth Rojas, Saith Rodríguez, Jorge López, Carlos A. Quintero, Juan Manuel Calderón:
Application of an educational strategy based on a soccer robotic platform. ICAR 2013: 1-6 - [c1]Carlos A. Quintero, Fernando Lozano:
Locally Linear Minimum Spanning Trees for Manifold Learning. ICMLA (1) 2013: 21-26
Informal and Other Publications
- 2023
- [i3]Carlos Quintero-Peña, Wil Thomason, Zachary K. Kingston, Anastasios Kyrillidis, Lydia E. Kavraki:
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty. CoRR abs/2309.16862 (2023) - 2021
- [i2]Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. CoRR abs/2112.06402 (2021) - 2020
- [i1]Constantinos Chamzas, Zachary K. Kingston, Carlos Quintero-Peña, Anshumali Shrivastava, Lydia E. Kavraki:
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions. CoRR abs/2010.15335 (2020)
Coauthor Index
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